MLL Engineering manager 9+ years remote 6 months contract

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profile Job Location:

Navi Mumbai - India

profile Monthly Salary: Not Disclosed
Posted on: 29 days ago
Vacancies: 1 Vacancy

Job Summary

 

Job Title: Lead Machine Learning / LLM Engineering manager

Location: Remote


Contract Duration: 6 Months (Renewable based on performance and project requirements)

Role Overview:

We are seeking a highly skilled Machine Learning (ML) / LLM Engineering Lead to drive large-scale AI and ML initiatives from concept to production. The ideal candidate will have deep expertise in Machine Learning NLP and Large Language Models (LLMs) with proven experience in leading technical teams and managing distributed training deployment and MLOps operations.

Key Responsibilities:

  • Lead mentor and manage cross-functional teams including ML Engineers Data Scientists and MLOps professionals.

  • Drive the end-to-end lifecycle of ML/LLM projects from ideation data strategy and model training to deployment and monitoring.

  • Define project roadmaps success metrics and deliverables in collaboration with Product Research and Infrastructure teams.

  • Provide technical leadership in training and fine-tuning large models using distributed systems.

  • Establish MLOps best practices including CI/CD pipelines model governance experiment tracking and deployment standards.

  • Manage compute resources scalability and cost efficiency across GPU/TPU infrastructure.

  • Ensure compliance with Responsible AI principles data security and regulatory standards.

  • Communicate project progress risks and outcomes to executive stakeholders.

Required Skills & Qualifications:

  • 9 years of experience in Machine Learning NLP and Deep Learning Architectures (Transformers LLMs).

  • Proficiency in Python and ML frameworks such as PyTorch TensorFlow Hugging Face DeepSpeed.

  • Minimum 2 years of experience leading teams building and deploying ML/LLM models in production.

  • Strong understanding of distributed training GPU/TPU optimization and cloud platforms (AWS GCP Azure).

  • Experience with MLOps tools like MLflow Kubeflow Vertex AI or equivalent.

  • Excellent leadership communication and cross-functional collaboration skills.

  • Bachelors or Masters degree in Computer Science Engineering or related discipline (PhD preferred).

Nice to Have:

  • Experience in fine-tuning large foundation models.

  • Contributions to open-source ML/LLM projects.

  • Knowledge of Responsible AI fairness and explainability in model deployment.

Contract & Benefits:

  • Duration: 6-month contract (renewable based on performance and project continuation).

  • Mode: 100% Remote work.

  • Opportunity: Collaborate on cutting-edge large-scale AI and LLM projects with leading global organizations.

 


Qualifications :

BE in IT or equivalent


Additional Information :

6 months contract & possibillty of renewal


Remote Work :

Yes


Employment Type :

Contract

 Job Title: Lead Machine Learning / LLM Engineering manager Location: Remote Contract Duration: 6 Months (Renewable based on performance and project requirements)Role Overview:We are seeking a highly skilled Machine Learning (ML) / LLM Engineering Lead to drive large-scale AI and ML initiatives fro...
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Key Skills

  • Hospitality Experience
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  • Management Experience
  • React
  • Redux
  • Node.js
  • AWS
  • Mechanical Engineering
  • Team Management
  • Leadership Experience
  • Mentoring
  • Distributed Systems

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